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Description of the community and its mission: Through the Science Support Partnership (SSP) Program, the U.S. Geological Survey partners with the Fish and Wildlife Service to understand and provide the critical science information required to effectively manage our nation’s resources.
This community serves to document data and analysis collected by researchers within the Upper Midwest Water Science Center whose mission is to collect high-quality hydrologic data and conduct unbiased, scientifically sound studies of water resources within the Great Lakes and Upper Mississippi Basins. We strive to meet the changing needs of those who use our information—from the distribution, availability, and quality of our water resources to topic-oriented research that addresses current hydrological issues.
This is a temporary community space for submitting metadata records not associated with a USGS Trusted Digital Repository to the USGS Science Data Catalog.
The USGS Integrated Water Availability Assessments (IWAAs) are designed to be a multi-extent, stakeholder driven, near real-time census and seasonal prediction of water availability for both human and ecological uses at regional and national extents. As part of the IWAAs program, the National Water Availability Assessment (National IWAAS) is intended to provide a periodic interpretive assessment of past, current, and future water demands compared to available supplies of clean water. The assessment will consider many of the factors that can influence the availability of water suitable for human and ecosystem uses including climate variability and change, and socioeconomic drivers such as changes in population, land...
This community page serves as a repository for current and past versions of earthquake geology input data utilized in the National Seismic Hazard Model (NSHM) 2023 release, for the conterminous U.S. Alaska input data can be found at: This page is maintained by: Alex Hatem Research Geologist Geologic Hazards Science Center
This community catalog serves the USGS Pennsylvania Water Science Center. The Water Science Center's mission is to collect, analyze and disseminate the impartial hydrologic data and information needed to wisely manage water resources for the people of the United States and the Commonwealth of Pennsylvania. In Pennsylvania, the USGS's water-resources roots date back to the late 1800's, with the initiation of streamflow gaging on the Delaware and Susquehanna Rivers and the evaluation of groundwater resources in various parts of the Commonwealth. Today, the Pennsylvania Water Science Center's cadre of nearly 80 scientists, technicians, and support staff in New Cumberland, Exton, Pittsburgh, and Williamsport work in...
Federal Program Assistance to Nature-Deprived Communities
Problem Potential offsite impacts to public and ecosystem health from exposure to current-use pesticides and other organic contaminants are a growing concern in Hawaiʻi. In response to these concerns, the U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Agriculture (HDOA), initiated a comprehensive pesticide-monitoring program of surface water in Hawaiʻi in 2016. The State of Hawaiʻi Department of Health (HDOH) is collaborating by providing technical and scientific assistance. Objectives The objectives of the Hawaiʻi pesticide-monitoring program include (1) documenting the occurrence and distribution of current-use pesticides in surface water of geographically distinct agricultural...
Categories: Data
The Denver Microbeam Laboratory (DML) provides infrastructure and expertise for basic and advanced microanalytical research carried out by scientists from most Mission Areas of the USGS as well as outside collaborators. The laboratory houses optical microscopes, digital microscopes, scanninging electron microscopes, energy dispersive spectrometers, electron backscattered diffraction, cathodoluminescence, and electron microprobes. The data collected in the Denver Microbeam Lab is used by researchers in the fields of mineralogy, petrology, geologic mapping, hydrology, biology, and environmental science.
The Gap Analysis Project (GAP) is an element of the U.S. Geological Survey. GAP helps to implement the Department of the Interior’s goals of inventory, monitoring, research, and information transfer. GAP has three primary goals: Identify conservation gaps that help keep common species common; Provide conservation information to the public so that informed resource management decisions can be made; and Facilitate the application of GAP data and analysis to specific resource management activities. To implement these goals, GAP carries out the following objectives: Map the land cover of the United States Map predicted distributions of vertebrate species for the U.S. Map the location, ownership and stewardship of...
Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake hazard analyses is limited. The development of robust and transportable models requires access to numerous inventories of ground failure triggered by earthquakes that span a broad range of terrains, shaking characteristics, and climates. We present an openly accessible, centralized earthquake-triggered ground-failure inventory repository in the form of a ScienceBase Community to provide open access to these data, and help accelerate progress. The Community hosts digital inventories created by both USGS and non-USGS authors. We present...
The National Hydrologic Geospatial Fabric (NHGF or the fabric) is a Water Mission Area (WMA) project focused on developing a web-accessible, middle-tier data system that will provide users access to the best-available geospatial data for hydrologic simulation modeling.
Tags: climate
The AMMonitor community is a collaboration of remote wildlife monitoring projects whose media data (audio, photos, and video and their metadata) comprise a repository for use in (1) ongoing adaptive management and research of wildlife, and (2) the development of new predictive models, via machine learning, for the automated identification of target species from media. Each collaborating project uses the AMMonitor R package and database structure for pooling data under a unifying framework that meets high quality standards for rich metadata. Each project exists as a child-item of this ScienceBase community, containing metadata about the project itself. These project items contain media folders as children, which...
This site is for data releases and information sharing related to the work of the Delaware River Basin (DRB) Integrated Modeling effort conducted within the Water Mission Area (WMA) Integrated Water Prediction (IWP) Program. The results of some of these modeling efforts are also contributing to the DRB base evaluation integrated water availability assessment of the Integrated Water Availability Assessments (IWAAs) Program.   
Note: This data release is currently under revision and is temporarily unavailable. Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. The Exotic Annual Grass (EAG) phenology in the western U.S. rangeland based on 30m near seamless Harmonized Landsat and Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) weekly composites between 2016 and 2021 (Dahal et al., 2022) were processed using these 3 methods: (1) NDVI threshold-based method, (2) manual phenological metrics, and (3) modeling and mapping. The EAG phenology model produced eight metrics identifying the sustainable...
The USGS and Virginia Tech are determining if and how the implementation of conservation practices, such as best management practices (BMPs), in watersheds have improved the health of Chesapeake nontidal streams. Our goal is to identify the effects of BMPs and land-use on stream ecosystems by linking upstream landscape change to stream physical habitat, water quality, flow and temperature, and macroinvertebrate and fish responses. We are also determining the specific sources of stress to streams and fish populations to help identify which management practices are most likely to improve stream health. Each year from 2021 to 2024 we study a different Chesapeake landscape setting that is a focus area for stakeholders...

map background search result map search result map USGS Gap Analysis Project (GAP) USGS Pennsylvania Water Science Center Upper Midwest Water Science Center Ohio-Kentucky-Indiana Water Science Center Earthquake geology inputs for the 2023 National Seismic Hazard Model (conterminous U.S.) National Hydrologic Geospatial Fabric USGS - G3 EMRI Airborne Geophysical Survey Hub Chesapeake​ Stream Team Federal_Agency_Program_Assistance_Combined_legtest2_WFL1 Exotic annual grass (EAG) phenology estimates in the western U.S. rangelands based on 30-m HLS NDVI: 2017 - 2021 Chesapeake​ Stream Team USGS Pennsylvania Water Science Center Upper Midwest Water Science Center Exotic annual grass (EAG) phenology estimates in the western U.S. rangelands based on 30-m HLS NDVI: 2017 - 2021 Ohio-Kentucky-Indiana Water Science Center USGS - G3 EMRI Airborne Geophysical Survey Hub USGS Gap Analysis Project (GAP) Federal_Agency_Program_Assistance_Combined_legtest2_WFL1